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MENA's largest AI & Data community. 100% free to join 🌍 Join 15,100+ learners, professionals and founders — and get instant access to over $1,000 in AI ebooks, courses and resources, completely free. 🎁 What's inside — yours free:✅ Bestselling ebooks — Future-Proof Careers in AI, Prompt Engineering, GenAI for Cybersecurity & Fintech, The Art of Data Cleaning✅ Starter packs — Essential Python, SQL & Machine Learning documents + ready-to-use datasets✅ Career kit — LinkedIn checklist, resume templates & "How to Get an AI & Data Job"✅ Live weekly events, workshops & replays✅ Exclusive WhatsApp community + 195K+ network 🎓 Led by Mohammad Arshad — 21 years in data & AI, 150+ events hosted, CPD-accredited. 👉 Come for the content. Stay for the community.Tap Join — $1,000+ of value, free, in 30 seconds 🚀

MENA's largest AI & Data community. 100% free to join 🌍Join 15,100+ learners, professionals and founders — and get instant access to over $1,000 in AI ebooks, courses and resources, completely free.🎁 What's inside — yours free: ✅ Bestselling ebooks — Future-Proof Careers in AI, Prompt Engineering, GenAI for Cybersecurity & Fintech, The Art of Data Cleaning ✅ Starter packs — Essential Python, SQL & Machine Learning documents + ready-to-use datasets ✅ Career kit — LinkedIn checklist, resume templates & "How to Get an AI & Data Job" ✅ Live weekly events, workshops & replays ✅ Exclusive WhatsApp community + 195K+ network🎓 Led by Mohammad Arshad — 21 years in data & AI, 150+ events hosted, CPD-accredited.👉 Come for the content. Stay for the community. Tap Join — $1,000+ of value, free, in 30 seconds 🚀

Decoding Data Science

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Artificial Intelligence

Sample DataScience Datasets for practice, academy, challenges, and Hackathon

Employee attrition refers to the rate at which employees leave a company or organization. To help you analyze and understand this phenomenon, we have prepared a sample dataset specifically curated for employee attrition analysis. The dataset provides valuable information that allows you to explore attrition patterns, identify trends, and gain insights into the factors contributing to employee turnover.

The Employee Attrition Sample Dataset includes various columns of data, offering a comprehensive view of employee dynamics within the organization. Some of the key columns in the dataset include:

EmployeeID: A unique identifier assigned to each employee.
Recorddate_key: The date when the record was captured or recorded.
Birthdate_key: The date of birth of each employee.
Orighiredate_key: The date when an employee was initially hired by the company.
Terminationdate_key: The date when an employee's employment was terminated.
Age: The age of each employee.
Length_of_service: The duration

Employee Attrition Sample Datasets

Code (copy the url): 
https://github.com/arshad831/panda-challenge/blob/main/Unicorn_companies_analysisworkshop-2ndAug.ipynb


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[Resource] Sample Datasets

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